Paper List

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Summary of Context Neural Networks: a Scalable Multivariate Model For Time Series Forecasting, by Abishek Sriramulu et al.
Summary of Post Training Quantization Of Large Language Models with Microscaling Formats, by Sayeh Sharify et al.
Summary of Cross-domain Continual Learning Via Clamp, by Weiwei Weng et al.
Summary of Edge Intelligence Optimization For Large Language Model Inference with Batching and Quantization, by Xinyuan Zhang et al.
Summary of Mh-pflid: Model Heterogeneous Personalized Federated Learning Via Injection and Distillation For Medical Data Analysis, by Luyuan Xie et al.
Summary of Automating Code Adaptation For Mlops — a Benchmarking Study on Llms, by Harsh Patel et al.
Summary of Bridging the Gap: Protocol Towards Fair and Consistent Affect Analysis, by Guanyu Hu et al.
Summary of Isr: Invertible Symbolic Regression, by Tony Tohme et al.
Summary of Greedyvig: Dynamic Axial Graph Construction For Efficient Vision Gnns, by Mustafa Munir et al.
Summary of Linear Explanations For Individual Neurons, by Tuomas Oikarinen et al.
Summary of Reimplementation Of Learning to Reweight Examples For Robust Deep Learning, by Parth Patil et al.
Summary of Sharpness-aware Minimization For Evolutionary Feature Construction in Regression, by Hengzhe Zhang et al.
Summary of Efficient Pac Learnability Of Dynamical Systems Over Multilayer Networks, by Zirou Qiu et al.
Summary of Causal Inference From Slowly Varying Nonstationary Processes, by Kang Du and Yu Xiang
Summary of Generation Of Granular-balls For Clustering Based on the Principle Of Justifiable Granularity, by Zihang Jia and Zhen Zhang and Witold Pedrycz
Summary of Aios Compiler: Llm As Interpreter For Natural Language Programming and Flow Programming Of Ai Agents, by Shuyuan Xu et al.
Summary of Fairness in Reinforcement Learning: a Survey, by Anka Reuel et al.
Summary of Generative Flow Induced Neural Architecture Search: Towards Discovering Optimal Architecture in Wavelet Neural Operator, by Hartej Soin and Tapas Tripura and Souvik Chakraborty
Summary of Design Requirements For Human-centered Graph Neural Network Explanations, by Pantea Habibi et al.
Summary of Semi-supervised Anomaly Detection Via Adaptive Reinforcement Learning-enabled Method with Causal Inference For Sensor Signals, by Xiangwei Chen et al.
Summary of A De-singularity Subgradient Approach For the Extended Weber Location Problem, by Zhao-rong Lai et al.
Summary of Input Snapshots Fusion For Scalable Discrete-time Dynamic Graph Neural Networks, by Qingguo Qi et al.
Summary of Robust Semi-supervised Learning by Wisely Leveraging Open-set Data, By Yang Yang et al.
Summary of Rothp: Rotary Position Embedding-based Transformer Hawkes Process, by Anningzhe Gao et al.
Summary of Characterizing the Accuracy — Efficiency Trade-off Of Low-rank Decomposition in Language Models, by Chakshu Moar et al.
Summary of Explaining Text Similarity in Transformer Models, by Alexandros Vasileiou et al.
Summary of Conformal Validity Guarantees Exist For Any Data Distribution (and How to Find Them), by Drew Prinster et al.
Summary of Federated Document Visual Question Answering: a Pilot Study, by Khanh Nguyen and Dimosthenis Karatzas
Summary of Value Augmented Sampling For Language Model Alignment and Personalization, by Seungwook Han et al.
Summary of Enhancing Language Models For Financial Relation Extraction with Named Entities and Part-of-speech, by Menglin Li and Kwan Hui Lim
Summary of Instruction-guided Bullet Point Summarization Of Long Financial Earnings Call Transcripts, by Subhendu Khatuya et al.
Summary of Sentiment Polarity Analysis Of Bangla Food Reviews Using Machine and Deep Learning Algorithms, by Al Amin et al.
Summary of Parameter-efficient Instruction Tuning Of Large Language Models For Extreme Financial Numeral Labelling, by Subhendu Khatuya et al.
Summary of Liouville Flow Importance Sampler, by Yifeng Tian et al.
Summary of Quakebert: Accurate Classification Of Social Media Texts For Rapid Earthquake Impact Assessment, by Jin Han et al.
Summary of Fleet Of Agents: Coordinated Problem Solving with Large Language Models Using Genetic Particle Filtering, by Akhil Arora et al.
Summary of Interpretable Cross-examination Technique (ice-t): Using Highly Informative Features to Boost Llm Performance, by Goran Muric et al.
Summary of Kolmogorov-arnold Networks Are Radial Basis Function Networks, by Ziyao Li
Summary of Approximation Error and Complexity Bounds For Relu Networks on Low-regular Function Spaces, by Owen Davis et al.
Summary of Ensuring Uav Safety: a Vision-only and Real-time Framework For Collision Avoidance Through Object Detection, Tracking, and Distance Estimation, by Vasileios Karampinis et al.
Summary of Deep Mmd Gradient Flow Without Adversarial Training, by Alexandre Galashov et al.
Summary of Scalable and Effective Arithmetic Tree Generation For Adder and Multiplier Designs, by Yao Lai et al.
Summary of Non-stationary Domain Generalization: Theory and Algorithm, by Thai-hoang Pham et al.
Summary of Open Challenges and Opportunities in Federated Foundation Models Towards Biomedical Healthcare, by Xingyu Li et al.
Summary of Dp-dylora: Fine-tuning Transformer-based Models On-device Under Differentially Private Federated Learning Using Dynamic Low-rank Adaptation, by Jie Xu et al.
Summary of Memory Mosaics, by Jianyu Zhang et al.
Summary of Projection by Convolution: Optimal Sample Complexity For Reinforcement Learning in Continuous-space Mdps, By Davide Maran et al.
Summary of Program Synthesis Using Inductive Logic Programming For the Abstraction and Reasoning Corpus, by Filipe Marinho Rocha et al.
Summary of Visualizing Neural Network Imagination, by Nevan Wichers et al.
Summary of Pac-bayesian Generalization Bounds For Knowledge Graph Representation Learning, by Jaejun Lee et al.
Summary of Generalization Analysis with Deep Relu Networks For Metric and Similarity Learning, by Junyu Zhou et al.
Summary of Improving Instruction Following in Language Models Through Proxy-based Uncertainty Estimation, by Joonho Lee et al.
Summary of Residual-based Attention Physics-informed Neural Networks For Spatio-temporal Ageing Assessment Of Transformers Operated in Renewable Power Plants, by Ibai Ramirez et al.
Summary of Time Evidence Fusion Network: Multi-source View in Long-term Time Series Forecasting, by Tianxiang Zhan et al.
Summary of Improving Deep Learning Model Calibration For Cardiac Applications Using Deterministic Uncertainty Networks and Uncertainty-aware Training, by Tareen Dawood et al.
Summary of Incentive-compatible Bandits: Importance Weighting No More, by Julian Zimmert et al.
Summary of Heterogeneous Graph Neural Networks with Loss-decrease-aware Curriculum Learning, by Yili Wang
Summary of Controllable Image Generation with Composed Parallel Token Prediction, by Jamie Stirling and Noura Al-moubayed
Summary of Mitigating Hallucinations in Large Language Models Via Self-refinement-enhanced Knowledge Retrieval, by Mengjia Niu et al.
Summary of Sharp Analysis Of Out-of-distribution Error For “importance-weighted” Estimators in the Overparameterized Regime, by Kuo-wei Lai et al.
Summary of Scalable Property Valuation Models Via Graph-based Deep Learning, by Enrique Riveros et al.
Summary of Efficient Federated Low Rank Matrix Completion, by Ahmed Ali Abbasi and Namrata Vaswani
Summary of No-regret Is Not Enough! Bandits with General Constraints Through Adaptive Regret Minimization, by Martino Bernasconi et al.
Summary of The Role Of Learning Algorithms in Collective Action, by Omri Ben-dov et al.
Summary of Selective Fine-tuning on Llm-labeled Data May Reduce Reliance on Human Annotation: a Case Study Using Schedule-of-event Table Detection, by Bhawesh Kumar et al.
Summary of Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-mills Theory, by Tianji Cai et al.
Summary of Gradient Flow Based Phase-field Modeling Using Separable Neural Networks, by Revanth Mattey et al.
Summary of Reddit-impacts: a Named Entity Recognition Dataset For Analyzing Clinical and Social Effects Of Substance Use Derived From Social Media, by Yao Ge and Sudeshna Das and Karen O’connor and Mohammed Ali Al-garadi and Graciela Gonzalez-hernandez and Abeed Sarker
Summary of A First Introduction to Cooperative Multi-agent Reinforcement Learning, by Christopher Amato
Summary of State-free Inference Of State-space Models: the Transfer Function Approach, by Rom N. Parnichkun et al.
Summary of Anomaly Detection in Graph Structured Data: a Survey, by Prabin B Lamichhane et al.
Summary of Contrastive Representation For Data Filtering in Cross-domain Offline Reinforcement Learning, by Xiaoyu Wen et al.
Summary of Skvq: Sliding-window Key and Value Cache Quantization For Large Language Models, by Haojie Duanmu et al.
Summary of Vlsm-adapter: Finetuning Vision-language Segmentation Efficiently with Lightweight Blocks, by Manish Dhakal et al.
Summary of A Novel Pseudo Nearest Neighbor Classification Method Using Local Harmonic Mean Distance, by Junzhuo Chen et al.
Summary of Disttack: Graph Adversarial Attacks Toward Distributed Gnn Training, by Yuxiang Zhang et al.
Summary of Ts3im: Unveiling Structural Similarity in Time Series Through Image Similarity Assessment Insights, by Yuhan Liu et al.
Summary of Learning Latent Dynamic Robust Representations For World Models, by Ruixiang Sun et al.
Summary of Xai4llm. Let Machine Learning Models and Llms Collaborate For Enhanced In-context Learning in Healthcare, by Fatemeh Nazary et al.
Summary of Machine Learning For Reconstruction Of Polarity Inversion Lines From Solar Filaments, by V. Kisielius and E. Illarionov
Summary of Puma: Margin-based Data Pruning, by Javier Maroto and Pascal Frossard
Summary of Learning From String Sequences, by David Lindsay and Sian Lindsay
Summary of Fedgcs: a Generative Framework For Efficient Client Selection in Federated Learning Via Gradient-based Optimization, by Zhiyuan Ning et al.
Summary of Lmd3: Language Model Data Density Dependence, by John Kirchenbauer et al.
Summary of Few-shot Class Incremental Learning Via Robust Transformer Approach, by Naeem Paeedeh et al.
Summary of Physics-enhanced Machine Learning: a Position Paper For Dynamical Systems Investigations, by Alice Cicirello
Summary of Trafficgpt: Towards Multi-scale Traffic Analysis and Generation with Spatial-temporal Agent Framework, by Jinhui Ouyang et al.
Summary of Clustering-based Multitasking Deep Neural Network For Solar Photovoltaics Power Generation Prediction, by Hui Song et al.
Summary of Agent-oriented Joint Decision Support For Data Owners in Auction-based Federated Learning, by Xiaoli Tang et al.
Summary of Precision Rehabilitation For Patients Post-stroke Based on Electronic Health Records and Machine Learning, by Fengyi Gao et al.
Summary of Llmc: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit, by Ruihao Gong et al.
Summary of Binary Hypothesis Testing For Softmax Models and Leverage Score Models, by Yeqi Gao et al.
Summary of Wilsonian Renormalization Of Neural Network Gaussian Processes, by Jessica N. Howard et al.
Summary of Bayesian Prediction-powered Inference, by R. Alex Hofer and Joshua Maynez and Bhuwan Dhingra and Adam Fisch and Amir Globerson and William W. Cohen
Summary of From Algorithm to Hardware: a Survey on Efficient and Safe Deployment Of Deep Neural Networks, by Xue Geng et al.
Summary of Bb-patch: Blackbox Adversarial Patch-attack Using Zeroth-order Optimization, by Satyadwyoom Kumar et al.
Summary of Unseggnet: Unsupervised Image Segmentation Using Graph Neural Networks, by Kovvuri Sai Gopal Reddy et al.
Summary of A Minimalist Prompt For Zero-shot Policy Learning, by Meng Song et al.
Summary of Driving Down Poisson Error Can Offset Classification Error in Clinical Tasks, by Charles B. Delahunt et al.
Summary of Llms For Xai: Future Directions For Explaining Explanations, by Alexandra Zytek et al.